Nature

Ordinal Regression and Classification Methods

Ordinal regression and classification methods form a vital branch of statistical learning wherein the outcome variable possesses an inherent order. Unlike conventional classification problems, where ...
JSTOR Daily

Latent Variable Models for Clustered Ordinal Data

Existing methods for the analysis of clustered, ordinal data are inappropriate for certain applications. We propose latent variable models for clustered ordinal data which are derived as natural ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Visual Studio Magazine

Data Prep for Machine Learning: Encoding

The Data Science Lab Data Prep for Machine Learning: Encoding Dr. James McCaffrey of Microsoft Research uses a full code program and screenshots to explain how to programmatically encode categorical ...